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How Z.AI’s Breakthrough Is Closing the Gap with Proprietary AI

In this episode of the Colaberry AI Podcast, we dive into the release of GLM 4.7, a powerful new open-source AI model from Z.AI that is rapidly reshaping expectations around what publicly available models can achieve. Remarkably, GLM 4.7 is outperforming several top-tier proprietary systems across multiple benchmarks—signaling a major shift in the balance of power within the AI ecosystem.

One of the model’s defining innovations is its preserved thinking mechanism, which allows it to maintain consistent reasoning and contextual awareness throughout long, complex interactions. Although GLM 4.7 contains an enormous 355 billion parameters, its highly efficient architecture activates only a fraction of that capacity at runtime—delivering exceptional performance without proportional compute costs.

The model demonstrates impressive versatility, excelling in advanced coding tasks, physics simulations, and even the creation of 2D and 3D games. Because GLM 4.7 is fully open-source, developers can deploy it locally—avoiding the high usage fees and access limitations associated with private AI platforms.

This release underscores a critical trend in AI development: the performance gap between open-source models and commercial software is rapidly closing, empowering developers and organizations with unprecedented access to frontier-level capabilities.

🎯 Key Takeaways:
⚡ GLM 4.7 outperforms leading proprietary models on multiple benchmarks
🤝 Preserved thinking mechanism enables consistent long-context reasoning
🔄 355B parameters with efficient, selective activation
📜 Excels at coding, simulations, and game creation
🌍 Open-source access accelerates innovation and lowers deployment costs

🧾 Ref:
GLM 4.7 Open-Source Breakthrough – YouTube Shorts

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